A real Lévy process satisfies almost surely, has stationary independent increments, is stochastically continuous, and is taken in its almost surely càdlàg version.
The Lévy–Khintchine theorem states that there is a unique triplet , where , , and is a measure on satisfyingsuch thatConversely every such triplet is the characteristic triplet of a Lévy process.
Let be Brownian motion and let be an independent Poisson random measure with intensity . Writing for its compensated version, the Lévy–Itô decomposition constructsThe four terms are independent drift, Gaussian, compensated small-jump and compound-Poisson large-jump components.
Almost surely differentiable paths must be continuous, so the jump measure must vanish: . A nonzero Brownian component has almost surely nowhere-differentiable paths, so also . Conversely, if and , then is differentiable. Thus
The Brownian and drift components are continuous. Any nonzero Lévy measure produces jumps: a set bounded away from zero with positive finite -measure gives a nontrivial compound Poisson component, and increasing such sets detects every nonzero . Hence paths are almost surely continuous exactly when
The compensated small-jump integral is integrable after localization and has mean zero, while the number of large jumps on a compact time interval is finite. Its absolute first moment is finite exactly when the large-jump sizes have finite first moment. Thus is integrable exactly when
The Brownian component has finite variance , and the compensated jump integral has variancewhen this integral is finite. Conversely, a finite second moment forces the jump measure to have a finite second moment. Therefore is integrable exactly whenThese four equivalences are the Path and moment criteria from a Lévy triplet.
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